Triple
T17655283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blansko |
E429605
|
entity |
| Predicate | hasCadastralArea |
P90148
|
FINISHED |
| Object |
Těchov
Těchov is a small cadastral village and administrative part of the town of Blansko in the South Moravian Region of the Czech Republic.
|
E1280343
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Těchov | Statement: [Blansko, hasCadastralArea, Těchov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Těchov Context triple: [Blansko, hasCadastralArea, Těchov]
-
A.
Chervonohrad
Chervonohrad is a mining and industrial city in western Ukraine known for its coal industry and location in the Lviv Oblast.
-
B.
Letychiv
Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
-
C.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
D.
Kotelnich
Kotelnich is a town in Kirov Oblast, Russia, known for its location on the Vyatka River and nearby rich fossil beds of Permian-period vertebrates.
-
E.
Proskurov
Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Těchov Triple: [Blansko, hasCadastralArea, Těchov]
Generated description
Těchov is a small cadastral village and administrative part of the town of Blansko in the South Moravian Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Těchov Target entity description: Těchov is a small cadastral village and administrative part of the town of Blansko in the South Moravian Region of the Czech Republic.
-
A.
Chervonohrad
Chervonohrad is a mining and industrial city in western Ukraine known for its coal industry and location in the Lviv Oblast.
-
B.
Letychiv
Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
-
C.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
D.
Kotelnich
Kotelnich is a town in Kirov Oblast, Russia, known for its location on the Vyatka River and nearby rich fossil beds of Permian-period vertebrates.
-
E.
Proskurov
Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3fc6e8819080098a3cd0183811 |
completed | April 19, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a021656351081908bc8f4e7eabbf8f8 |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a021747bc488190bf008b895d7f085b |
completed | May 11, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0217e07bd08190a727c42742a467c3 |
completed | May 11, 2026, 5:54 p.m. |
Created at: April 10, 2026, 6:06 a.m.